> Markdown version of [/jobs/ext/1950079-staff-sr-ml-infrastructure-engineer-foundation-model-compute-infra](https://www.wearedevelopers.com/jobs/ext/1950079-staff-sr-ml-infrastructure-engineer-foundation-model-compute-infra). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff/Sr. ML Infrastructure Engineer, Foundation Model Compute Infra - **Company:** Apple Inc. - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, C++ (Programming Language), Cloud Computing, Computer Programming, Distributed Systems, Fault Tolerance, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Pytorch, Large Language Models, Backend, Build Management, Kubernetes, Information Technology, Machine Learning Operations, Golang - **Published:** August 6, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3342426037&tx=KR1111FFK&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 5+ years of industry experience building large-scale distributed systems or cloud infrastructure * Experience with distributed ML training or inference systems * Strong programming skills in Python, Go, C++, or similar systems languages * Experience with accelerator infrastructure such as TPU, GPU * Experience with Kubernetes, container orchestration, or large-scale cluster management systems * Strong communication and collaboration skills across engineering and research teams * Bachelor's degree in Computer Science, Engineering, or related field, * Experience building schedulers, resource managers, or orchestration systems for distributed workloads * Familiarity with frameworks such as JAX, PyTorch, TensorFlow, Ray, Pathways, or vLLM * Experience operating large-scale multi-tenant infrastructure in cloud or hybrid environments * Background in performance optimization, fault tolerance, or resource efficiency for large distributed systems * Strong expertise in distributed systems, scalability, reliability, and performance engineering * Experience designing backend services or infrastructure platforms operating at production scale * MS or PhD in Computer Science, Engineering, or related field ## Description As a Senior/Staff Engineer on the Foundation Model Compute Infrastructure team, you will design and build large-scale infrastructure that powers foundation model training, fine-tuning, evaluation, and inference. You will develop model inference and fine-tuning services, onboard and benchmark new accelerators, and work closely with foundation model researchers and engineers to improve reliability, performance, scalability, and developer productivity across Apple's AI workloads. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [From Model to Metal: An Open Source Stack for Accelerating Intelligence](https://www.wearedevelopers.com/videos/1636-from-model-to-metal-an-open-source-stack-for-accelerating-intelligence) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)